基于扩展序列运算的含不确定性需求响应电力系统优化调度

未来高比例可再生能源的随机性给电力系统运行带来了前所未有的挑战,灵活性资源的不足限制了可再生能源的发展,柔性负荷可作为一种灵活性资源参与电力系统的调峰和备用。文中根据响应机制的不同,将柔性负荷分为激励型负荷和价格型负荷两种。基于扩展概率性序列运算理论,分别建立表征激励型负荷和价格型负荷响应不确定性的概率模型,表征风电出力不确定性的概率模型也随之建立。在此基础上,以应对风电波动性和随机性为背景,基于风险约束和风险成本理论,构建了同时考虑风电出力和需求响应不确定性的电力系统日前优化调度模型。针对构建的随机优化问题,文中通过序列运算对机会约束条件进行转化,将其转化为一个约束条件为线性的确定性优化问题进行求解。最后,通过仿真算例验证了模型的有效性,并分析了序列运算应用于不确定性问题的实用价值。

Optimal Dispatch of Power System Considering Uncertainty of Demand Response Based on Extended Sequence Operation

Due to the randomness of renewable energy, high proportion of grid-connected renewable energy in the future will bring unprecedented challenges to power system operation. The insufficient flexibility resource limits the development of renewable energy. The flexible load can be used as a kind of flexible resources to participate in shifting peak load and reserve of the power system. According to the response mechanism, the flexible load can be divided into incentive-based load and price-based load. Based on the extended probabilistic sequence operation theory, this paper develops the probability models characterizing uncertainties of incentive-based load and price-based load, respectively. Then, the probability model characterizing the uncertainty of wind power is built. To response to the randomness and fluctuation of wind power, based on the theory of risk control and risk cost, this paper develops a day-ahead optimal dispatch model of power system considering the randomness of both demand response and wind power. The opportunity constraints are transformed through sequence operations, then the developed stochastic optimization problem is reduced to a deterministic optimization problem with linear constraints for solving. Finally, the model is verified by a numerical example, and the practical value of sequence operation applied in uncertainty problem is analyzed.